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多靶标药物重定位策略用于治疗 SARS-CoV-2。

Polypharmacology guided drug repositioning approach for SARS-CoV2.

机构信息

Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, Assam, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

出版信息

PLoS One. 2023 Aug 9;18(8):e0289890. doi: 10.1371/journal.pone.0289890. eCollection 2023.

Abstract

Drug repurposing has emerged as an important strategy and it has a great potential in identifying therapeutic applications for COVID-19. An extensive virtual screening of 4193 FDA approved drugs has been carried out against 24 proteins of SARS-CoV2 (NSP1-10 and NSP12-16, envelope, membrane, nucleoprotein, spike, ORF3a, ORF6, ORF7a, ORF8, and ORF9b). The drugs were classified into top 10 and bottom 10 drugs based on the docking scores followed by the distribution of their therapeutic indications. As a result, the top 10 drugs were found to have therapeutic indications for cancer, pain, neurological disorders, and viral and bacterial diseases. As drug resistance is one of the major challenges in antiviral drug discovery, polypharmacology and network pharmacology approaches were employed in the study to identify drugs interacting with multiple targets and drugs such as dihydroergotamine, ergotamine, bisdequalinium chloride, midostaurin, temoporfin, tirilazad, and venetoclax were identified among the multi-targeting drugs. Further, a pathway analysis of the genes related to the multi-targeting drugs was carried which provides insight into the mechanism of drugs and identifying targetable genes and biological pathways involved in SARS-CoV2.

摘要

药物重定位已成为一种重要策略,在确定 COVID-19 的治疗应用方面具有巨大潜力。对 24 种 SARS-CoV2 蛋白(NSP1-10 和 NSP12-16、包膜、膜、核衣壳蛋白、刺突、ORF3a、ORF6、ORF7a、ORF8 和 ORF9b)进行了广泛的虚拟筛选,对 4193 种已批准的 FDA 药物进行了虚拟筛选。根据对接评分对药物进行分类,分为前 10 名和后 10 名药物,然后根据其治疗适应症的分布情况进行分类。结果发现,前 10 名药物具有治疗癌症、疼痛、神经紊乱以及病毒和细菌疾病的适应症。由于耐药性是抗病毒药物发现的主要挑战之一,因此在研究中采用了多药理学和网络药理学方法来识别与多个靶点相互作用的药物和多靶点药物,如二氢麦角胺、麦角胺、双去极化氯、米哚妥林、替莫泊芬、替拉扎特和 venetoclax 等。此外,还对与多靶点药物相关的基因进行了途径分析,这为药物作用机制以及鉴定 SARS-CoV2 相关的可靶向基因和生物途径提供了深入的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e82c/10411734/af5a1a005f78/pone.0289890.g001.jpg

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